Seemingly, you didn't bother to read it.

Of course I did, the paper is about accurate self awareness and metacognition not reversing dunning.

In their "highlights" section:

> Large Language Model usage levels out the Dunning–Kruger effect.

That's basically my title. I think that's the interesting finding in the study.

It’s selective narration of a scientific paper.

At least I tried

> Comet isn't available for your system yet. Comet is currently available for Windows and macOS.

People keep looking for the "one underrated skill" as if startups had a secret cheat code. In reality, success comes from balancing messy tradeoffs and learning fast under uncertainty.

The real underrated skill is realizing there isn't one.

Are you based in the US? I've heard that compute capacity peaks during US working hours, and access may be degraded during that time, for example, through dynamic quantization [1].

[1] https://www.seangoedecke.com/ai-is-good-news-for-australian-...

This aligns with METR's Time Horizons [1], the current SOTA "Moore's Law" for AI agents:

- The length of tasks AI can complete doubles every ~7 months

- In 2-4 years, AIs could autonomously complete week-long projects.

- In under 10 years, they might handle month-long software or knowledge work.

[1] https://metr.org/blog/2025-03-19-measuring-ai-ability-to-com...

It's like saying your newborn will have the same mass as earth in 50 years if he continues on his first month weight gain trajectory.

METR uses a 50% success rate in that analysis, beecause the models are non-determistic.

METR measures tasks, not projects. No project I've worked on had individual tasks that were supposed to take longer than 2 weeks, the PM* broke them down to sub-tasks if they were any bigger.

* At least, where we had a PM. The places I was self-directed could arguably provide an interesting comparison.

Do you think Devops is not required when you use cloud providers or something? Of course it is...

I meant +1 DevOps engineer dedicated to managing the added operational complexity.

Why would it be +1? The Devops duties that were performed on AWS are no longer being performed... wouldn't it simply shift to the new stack?

Self-managed Talos K8s, self-managed CloudNativePG, and the operational overhead of networking, DNS, etc. All of these were used to be fully managed by AWS for them; zero operational cost.

I'd guesstimate a 2× increase in their operational complexity. So, if they previously required 0.5 DevOps of a full-timer, they'll now need one more DevOps full-timer just to handle the added complexity.

Does that make sense to you?

> Yet OP, in the business of "accurate ad spend analytics", only just discovered this!?

Looks like a very fresh business [1]; it only became worth writing about once they were ready to pitch their product.

[1] https://whois.domaintools.com/joindatacops.com

Good read, but worth keeping in mind the conflict of interest here - the author's company sells bot-detection tools.

The overall point stands, yet the specific "73% fake traffic" figure should be taken with caution until independent data backs it up.